Neural Network Parallel Computing
Seiten
2012
|
Softcover reprint of the original 1st ed. 1992
Springer-Verlag New York Inc.
978-1-4613-6620-1 (ISBN)
Springer-Verlag New York Inc.
978-1-4613-6620-1 (ISBN)
Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications.
Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling.
Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.
Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling.
Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.
1. Neural Network Models and N-Queen Problems.- 2. Crossbar Switch Scheduling Problems.- 3. Four-Coloring and K-Colorability Problems.- 4. Graph Planarization Problems.- 5. Channel Routing Problems.- 6. RNA Secondary Structure Prediction.- 7. Knight’s Tour Problems.- 8. Spare Allocation Problems.- 9. Sorting and Searching.- 10. Tiling Problems.- 11. Silicon Neural Networks.- 12. Mathematical Background.- 13. Forthcoming Applications.- 14. Conjunctoids and Artificial Learning.
| Reihe/Serie | The Springer International Series in Engineering and Computer Science ; 164 |
|---|---|
| Zusatzinfo | XIII, 230 p. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 160 x 240 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-4613-6620-8 / 1461366208 |
| ISBN-13 | 978-1-4613-6620-1 / 9781461366201 |
| Zustand | Neuware |
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